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## Package org.metaqtl.algo

Class Summary
ClustAlgorithm |
CMSAlgorithm | Use this class to find common marker sequences between two chromosomes.
EMAlgorithm | This class defines methods to perform the EM-algorithm for univariate mixture of gaussians with known variances.
HClustAlgorithm | This class implements stantard agglomerative hierarchical clustering methods.
MetaAlgorithm |
MetaMapAlgorithm | This class is dedicated to the construction of a consensus genetic map from a set of genetic maps based on a Weigthed Least Square approach.
QtlClustAlgorithm | This class defines methods to perform a QTL meta-analysis on a genetic map by applying a clustering of QTL based on a gaussian mixture model and the EM-algorihtm.
QtlProjAlgorithm | This class defines some methods to project QTL positions from a genetic map to another.
QtlTreeAlgorithm | This class defines methods to perform agglomerative hierarchical QTL clustering.
SVDAlgorithm | This class defines methods to solve usual linear algebra problems by using Singular Value Decomposition (SVD) strategy.

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